Advanced solutions for efficient alarm monitoring and management of complex industrial facilities

用于复杂工业设施的高效报警监控和管理的先进解决方案

• 批准号: 494073-2016
• 负责人: Chen, Tongwen
• 金额: $ 22.85万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695462
• 关键词: Advanced; solutions; efficient; alarm; monitoring

This collaborative research and development project is to develop, evaluate, and apply advanced solutions and tools for assisting industrial plant operators in their decisions on abnormal situations, and therefore enhance safe plant operations. In operating industrial facilities, it is becoming increasingly important to develop plant operation strategies for sustainable Environmental, Health, and Safety (EH&S) performance and corporate social responsibility. Such EH&S targets can also lead to enormous economic benefits since abnormal situations cost billions of dollars annually in industry due to unplanned shutdowns, equipment damages, and operation failures. To ensure satisfactory operation of an industrial plant and to meet desired measures of quality, efficiency and EH&S performance, it is of paramount importance that operators be informed promptly via the alarm system of any faults and abnormal situations in the plant so that appropriate remedies can be applied. Such an operator decision support system has two main functions, fault detection and diagnosis, and alarm management and monitoring, for which there exist strong needs for advanced practical solutions. Adopting a data driven approach, based on historical process data, and alarm and event logs, this proposal outlines a number of new research areas for advanced solutions and tool development for complex industrial systems, ranging from fault detection and diagnosis, online alarm flood monitoring, operator action analysis, multivariable alarm systems, to pipeline leak detection and localization. The new results are planned to be industrially validated and implemented on facilities of participating partners. The solutions and tools to be developed have the potential for improving operations, safety, production and cost performance for the partners, as well as various Canadian industrial sectors in general.

这个合作研究与开发项目是开发，评估和应用高级解决方案和工具，以协助工业植物运营商在异常情况下做出决定，从而增强安全的工厂运营。 在运营工业设施中，制定工厂运营策略越来越重要，以实现可持续的环境，健康和安全（EH＆S）绩效和企业社会责任。这种EH＆S目标也可能导致巨大的经济利益，因为由于计划外的关闭，设备损失和操作失败，每年的情况异常数十亿美元。为了确保工业工厂的令人满意的操作并满足所需的质量，效率和EH＆S绩效的措施，至关重要的是，通过警报系统的任何故障和异常情况，可以及时通知操作员，以便可以进行适当的补救措施应用。这样的操作员决策支持系统具有两个主要功能：故障检测和诊断以及警报管理和监视，对高级实用解决方案的需求很大。 该提案采用数据驱动方法，基于历史过程数据以及警报和事件日志，概述了许多新的研究领域，用于复杂工业系统的高级解决方案和工具开发，从故障检测和诊断，在线警报洪水监测，操作员行动分析，多变量警报系统，用于管道泄漏检测和本地化。计划在参与伙伴的设施上对新结果进行工业验证和实施。要开发的解决方案和工具具有改善合作伙伴的运营，安全，生产和成本绩效以及一般的加拿大工业部门的潜力。